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In this article, we prove the complete  q -th moment convergence for the maximum of partial sums of-negatively associated random variablesunder some general conditions. The results obtained in this article are extensions of previous studies for-negatively associated random variables. In addition, we investigate the strong consistency of the least squares estimator in the simple linear errors-in-variables model based on-negatively associated random variables, and provide some simulations to assess the finite sample performance of the theoretical results.

stochastic models

Complete  q -th moment convergence for the maximum of partial sums of                                        -negatively associated random variables and its application to the EV regression model *